





'''simple docstring'''


import os
from pathlib import Path
from unittest.mock import patch

import pytest
import zstandard as zstd

from datasets.download.download_config import DownloadConfig
from datasets.utils.file_utils import (
    OfflineModeIsEnabled,
    cached_path,
    fsspec_get,
    fsspec_head,
    ftp_get,
    ftp_head,
    get_from_cache,
    http_get,
    http_head,
)


_SCREAMING_SNAKE_CASE									=				"\\n    Text data.\n    Second line of data."

_SCREAMING_SNAKE_CASE									=				"file"


@pytest.fixture(scope="session"     )
def 						__a(SCREAMING_SNAKE_CASE_	:       Union[str, Any]     ):



    '''simple docstring'''





    _lowerCAmelCase						      =   tmp_path_factory.mktemp("data"     ) / (FILE_PATH + ".zstd")
    _lowerCAmelCase						      =   bytes(SCREAMING_SNAKE_CASE_		,							"utf-8"     )
    with zstd.open(SCREAMING_SNAKE_CASE_		,							"wb"     ) as f:
        f.write(SCREAMING_SNAKE_CASE_     )
    return path


@pytest.fixture
def 						__a(SCREAMING_SNAKE_CASE_	:       Dict     ):



    '''simple docstring'''





    with open(os.path.join(tmpfs.local_root_dir		,							SCREAMING_SNAKE_CASE_     )		,							"w"     ) as f:
        f.write(SCREAMING_SNAKE_CASE_     )
    return FILE_PATH


@pytest.mark.parametrize("compression_format"		,							["gzip", "xz", "zstd"]     )
def 						__a(SCREAMING_SNAKE_CASE_	:       Dict		,							SCREAMING_SNAKE_CASE_	:       List[str]		,							SCREAMING_SNAKE_CASE_	:       Any		,							SCREAMING_SNAKE_CASE_	:       str		,							SCREAMING_SNAKE_CASE_	:       List[str]		,							SCREAMING_SNAKE_CASE_	:       Dict     ):



    '''simple docstring'''





    _lowerCAmelCase						      =   {"gzip": gz_file, "xz": xz_file, "zstd": zstd_path}
    _lowerCAmelCase						      =   input_paths[compression_format]
    _lowerCAmelCase						      =   tmp_path / "cache"
    _lowerCAmelCase						      =   DownloadConfig(cache_dir=SCREAMING_SNAKE_CASE_		,							extract_compressed_file=SCREAMING_SNAKE_CASE_     )
    _lowerCAmelCase						      =   cached_path(SCREAMING_SNAKE_CASE_		,							download_config=SCREAMING_SNAKE_CASE_     )
    with open(SCREAMING_SNAKE_CASE_     ) as f:
        _lowerCAmelCase						      =   f.read()
    with open(SCREAMING_SNAKE_CASE_     ) as f:
        _lowerCAmelCase						      =   f.read()
    assert extracted_file_content == expected_file_content


@pytest.mark.parametrize("default_extracted"		,							[True, False]     )
@pytest.mark.parametrize("default_cache_dir"		,							[True, False]     )
def 						__a(SCREAMING_SNAKE_CASE_	:       str		,							SCREAMING_SNAKE_CASE_	:       List[str]		,							SCREAMING_SNAKE_CASE_	:       Dict		,							SCREAMING_SNAKE_CASE_	:       Optional[int]		,							SCREAMING_SNAKE_CASE_	:       List[Any]     ):



    '''simple docstring'''





    _lowerCAmelCase						      =   "custom_cache"
    _lowerCAmelCase						      =   "custom_extracted_dir"
    _lowerCAmelCase						      =   tmp_path / "custom_extracted_path"
    if default_extracted:
        _lowerCAmelCase						      =   ("downloads" if default_cache_dir else custom_cache_dir, "extracted")
    else:
        monkeypatch.setattr("datasets.config.EXTRACTED_DATASETS_DIR"		,							SCREAMING_SNAKE_CASE_     )
        monkeypatch.setattr("datasets.config.EXTRACTED_DATASETS_PATH"		,							str(SCREAMING_SNAKE_CASE_     )     )
        _lowerCAmelCase						      =   custom_extracted_path.parts[-2:] if default_cache_dir else (custom_cache_dir, custom_extracted_dir)

    _lowerCAmelCase						      =   xz_file
    _lowerCAmelCase						      =   (
        DownloadConfig(extract_compressed_file=SCREAMING_SNAKE_CASE_     )
        if default_cache_dir
        else DownloadConfig(cache_dir=tmp_path / custom_cache_dir		,							extract_compressed_file=SCREAMING_SNAKE_CASE_     )
    )
    _lowerCAmelCase						      =   cached_path(SCREAMING_SNAKE_CASE_		,							download_config=SCREAMING_SNAKE_CASE_     )
    assert Path(SCREAMING_SNAKE_CASE_     ).parent.parts[-2:] == expected


def 						__a(SCREAMING_SNAKE_CASE_	:       Union[str, Any]     ):



    '''simple docstring'''





    _lowerCAmelCase						      =   str(Path(SCREAMING_SNAKE_CASE_     ).resolve()     )
    assert cached_path(SCREAMING_SNAKE_CASE_     ) == text_file
    # relative path
    _lowerCAmelCase						      =   str(Path(SCREAMING_SNAKE_CASE_     ).resolve().relative_to(Path(os.getcwd()     )     )     )
    assert cached_path(SCREAMING_SNAKE_CASE_     ) == text_file


def 						__a(SCREAMING_SNAKE_CASE_	:       int     ):



    '''simple docstring'''





    _lowerCAmelCase						      =   str(tmp_path.resolve() / "__missing_file__.txt"     )
    with pytest.raises(SCREAMING_SNAKE_CASE_     ):
        cached_path(SCREAMING_SNAKE_CASE_     )
    # relative path
    _lowerCAmelCase						      =   "./__missing_file__.txt"
    with pytest.raises(SCREAMING_SNAKE_CASE_     ):
        cached_path(SCREAMING_SNAKE_CASE_     )


def 						__a(SCREAMING_SNAKE_CASE_	:       Any     ):



    '''simple docstring'''





    _lowerCAmelCase						      =   get_from_cache(F'''tmp://{tmpfs_file}'''     )
    with open(SCREAMING_SNAKE_CASE_     ) as f:
        _lowerCAmelCase						      =   f.read()
    assert output_file_content == FILE_CONTENT


@patch("datasets.config.HF_DATASETS_OFFLINE"		,							SCREAMING_SNAKE_CASE_     )
def 						__a():



    '''simple docstring'''





    with pytest.raises(SCREAMING_SNAKE_CASE_     ):
        cached_path("https://huggingface.co"     )


@patch("datasets.config.HF_DATASETS_OFFLINE"		,							SCREAMING_SNAKE_CASE_     )
def 						__a(SCREAMING_SNAKE_CASE_	:       Union[str, Any]     ):



    '''simple docstring'''





    _lowerCAmelCase						      =   tmp_path_factory.mktemp("data"     ) / "file.html"
    with pytest.raises(SCREAMING_SNAKE_CASE_     ):
        http_get("https://huggingface.co"		,							temp_file=SCREAMING_SNAKE_CASE_     )
    with pytest.raises(SCREAMING_SNAKE_CASE_     ):
        http_head("https://huggingface.co"     )


@patch("datasets.config.HF_DATASETS_OFFLINE"		,							SCREAMING_SNAKE_CASE_     )
def 						__a(SCREAMING_SNAKE_CASE_	:       Union[str, Any]     ):



    '''simple docstring'''





    _lowerCAmelCase						      =   tmp_path_factory.mktemp("data"     ) / "file.html"
    with pytest.raises(SCREAMING_SNAKE_CASE_     ):
        ftp_get("ftp://huggingface.co"		,							temp_file=SCREAMING_SNAKE_CASE_     )
    with pytest.raises(SCREAMING_SNAKE_CASE_     ):
        ftp_head("ftp://huggingface.co"     )





@patch("datasets.config.HF_DATASETS_OFFLINE"		,							SCREAMING_SNAKE_CASE_     )
def 						__a(SCREAMING_SNAKE_CASE_	:       Union[str, Any]     ):



    '''simple docstring'''





    _lowerCAmelCase						      =   tmp_path_factory.mktemp("data"     ) / "file.html"
    with pytest.raises(SCREAMING_SNAKE_CASE_     ):
        fsspec_get("s3://huggingface.co"		,							temp_file=SCREAMING_SNAKE_CASE_     )
    with pytest.raises(SCREAMING_SNAKE_CASE_     ):
        fsspec_head("s3://huggingface.co"     )








'''simple docstring'''


import logging
import os
import sys
from pathlib import Path
from unittest.mock import patch

from parameterized import parameterized
from run_eval import run_generate
from run_eval_search import run_search

from transformers.testing_utils import CaptureStdout, TestCasePlus, slow
from utils import ROUGE_KEYS


logging.basicConfig(level=logging.DEBUG)
UpperCAmelCase_					=   logging.getLogger()


def     SCREAMING_SNAKE_CASE							(   a_						:				Path					,       a_						:				list      ):
  __a								=       '\n'.join(a_      )
  Path(a_      ).open('w'      ).writelines(a_      )


UpperCAmelCase_					=   "patrickvonplaten/t5-tiny-random"
UpperCAmelCase_					=   "sshleifer/bart-tiny-random"
UpperCAmelCase_					=   "sshleifer/tiny-mbart"

UpperCAmelCase_					=   logging.StreamHandler(sys.stdout)
logger.addHandler(stream_handler)
logging.disable(logging.CRITICAL)  # remove noisy download output from tracebacks





class  __lowercase    (	__magic_name__			):







   def 		UpperCamelCase__      (						self   ,				UpperCamelCase   )					->     Dict:
     __a								=       Path(self.get_auto_remove_tmp_dir()   ) / 'utest_input.source'
     __a								=       input_file_name.parent / 'utest_output.txt'
     assert not output_file_name.exists()
     __a								=       [' New York (CNN)When Liana Barrientos was 23 years old, she got married in Westchester County.']
     _dump_articles(UpperCamelCase   ,				UpperCamelCase   )

     __a								=       str(Path(self.get_auto_remove_tmp_dir()   ) / 'scores.json'   )
     __a								=       'translation_en_to_de' if model == T5_TINY else 'summarization'
     __a								=       f"\n            run_eval_search.py\n            {model}\n            {input_file_name}\n            {output_file_name}\n            --score_path {score_path}\n            --task {task}\n            --num_beams 2\n            --length_penalty 2.0\n            ".split()

     with patch.object(UpperCamelCase   ,				'argv'   ,				UpperCamelCase   ):
       run_generate()
       assert Path(UpperCamelCase   ).exists()
       # os.remove(Path(output_file_name))







   def 		UpperCamelCase__      (						self   )					->     int:
     self.run_eval_tester(UpperCamelCase   )







   @parameterized.expand([BART_TINY, MBART_TINY]   )
   @slow
   def 		UpperCamelCase__      (						self   ,				UpperCamelCase   )					->     Union[str, Any]:
     self.run_eval_tester(UpperCamelCase   )







   @parameterized.expand([T5_TINY, MBART_TINY]   )
   @slow
   def 		UpperCamelCase__      (						self   ,				UpperCamelCase   )					->     Optional[Any]:
     __a								=       Path(self.get_auto_remove_tmp_dir()   ) / 'utest_input.source'
     __a								=       input_file_name.parent / 'utest_output.txt'
     assert not output_file_name.exists()

     __a								=       {
         'en': ['Machine learning is great, isn\'t it?', 'I like to eat bananas', 'Tomorrow is another great day!'],
         'de': [
             'Maschinelles Lernen ist großartig, oder?',
             'Ich esse gerne Bananen',
             'Morgen ist wieder ein toller Tag!',
         ],
     }

     __a								=       Path(self.get_auto_remove_tmp_dir()   )
     __a								=       str(tmp_dir / 'scores.json'   )
     __a								=       str(tmp_dir / 'val.target'   )
     _dump_articles(UpperCamelCase   ,				text['en']   )
     _dump_articles(UpperCamelCase   ,				text['de']   )
     __a								=       'translation_en_to_de' if model == T5_TINY else 'summarization'
     __a								=       f"\n            run_eval_search.py\n            {model}\n            {str(UpperCamelCase   )}\n            {str(UpperCamelCase   )}\n            --score_path {score_path}\n            --reference_path {reference_path}\n            --task {task}\n            ".split()
     testargs.extend(['--search', 'num_beams=1:2 length_penalty=0.9:1.0']   )

     with patch.object(UpperCamelCase   ,				'argv'   ,				UpperCamelCase   ):
       with CaptureStdout() as cs:
         run_search()
       __a								=       [' num_beams | length_penalty', model, 'Best score args']
       __a								=       ['Info']
       if "translation" in task:
         expected_strings.append('bleu'   )
       else:
         expected_strings.extend(UpperCamelCase   )
       for w in expected_strings:
         assert w in cs.out
       for w in un_expected_strings:
         assert w not in cs.out
       assert Path(UpperCamelCase   ).exists()
       os.remove(Path(UpperCamelCase   )   )



